• Abstract and Figures
• Public Full-text

Improved three-dimensional color-gradient lattice Boltzmann model for immiscible multiphase flows Z. X. Wen, Q. Li*, and Y. Yu School of Energy Science and Engineering, Central South University, Changsha 410083, China Kai. H. Luo Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK *Corresponding author: [email protected] Abstract In this paper, an improved three-dimensional color-gradient lattice Boltzmann (LB) model is proposed for simulating immiscible multiphase flows. Compared with the previous three-dimensional color-gradient LB models, which suffer from the lack of Galilean invariance and considerable numerical errors in many cases owing to the error terms in the recovered macroscopic equations, the present model eliminates the error terms and therefore improves the numerical accuracy and enhances the Galilean invariance. To validate the proposed model, numerical simulation are performed. First, the test of a moving droplet in a uniform flow field is employed to verify the Galilean invariance of the improved model. Subsequently, numerical simulations are carried out for the layered two-phase flow and three-dimensional Rayleigh-Taylor instability. It is shown that, using the improved model, the numerical accuracy can be significantly improved in comparison with the color-gradient LB model without the improvements. Finally, the capability of the improved color-gradient LB model for simulating dynamic multiphase flows at a relatively large density ratio is demonstrated via the simulation of droplet impact on a solid surface. PACS number(s): 47.11.-j. 1 I. Introduction In the past three decades, the lattice Boltzmann (LB) method [1-9], which originates from the lattice gas automaton (LGA) method [10], has been developed into an efficient numerical approach for simulating fluid flow and heat transfer. Different from conventional numerical methods, which are based on the direct discretization of macroscopic governing equations, the LB method is built on the mesoscopic kinetic equation. It tracks the evolution of a particle distribution function and then accumulates the particle distribution function to obtain the macroscopic properties. Owing to its kinetic nature, the LB method exhibits some advantages over conventional numerical methods. For example, in the LB equation the convective operator (the streaming process) is linear, whereas the convective terms of the Navier-Stokes equations are nonlinear [11]. Moreover, in the LB simulations the complex boundary conditions can be formulated with the elementary mechanical rules such as the bounce-back rule according to the interaction of the “LB particles” with the solid walls. Furthermore, the LB method is ideal for parallel computing because of its explicit scheme and the local interactions. Since the emergence of the LB method, its applications to multiphase flows have always been a very important theme of this method and various multiphase LB models have been developed from different points of view [12]. Generally, most of the existing multiphase LB models can be classified into the following four categories [5-7], i.e., the color-gradient LB method, the pseudopotential LB method, the free-energy LB method, and the phase-field LB method. The first color-gradient LB model was proposed by Gunstensen et al. [13], which is also the earliest mulitcomponent extension of the LGA method to the LB method [14]. In the color-gradient LB method, two distribution functions are introduced to represent two different fluids and a color-gradient-based perturbation operator is employed to generate the surface tension as well as a recoloring step for separating different phases or components. The pseudopotential LB method, which is the simplest multiphase LB method, was introduced by Shan and Chen [15,16]. In this method, the fluid interactions are mimicked by an interparticle potential, through which the 2 separation of different phases or components can be achieved naturally. The free-energy LB method was developed by Swift et al. [17,18] based on thermodynamics considerations. They proposed to modify the second-order moment of the particle equilibrium distribution function so as to include a non-ideal thermodynamic pressure tensor. The phase-field LB method is based on the phase-field theory, in which the interface dynamics is described by an order parameter that obeys the Cahn-Hilliard equation or a Cahn-Hilliard-like equation [19]. Each of these multiphase LB methods has its advantages and limitations. A comprehensive review of the pseudopotential LB method and the phase-field LB method can be found in Ref. [7]. In addition, the book by Huang, Sukop and Lu [12] is also dedicated to the multiphase LB methods. In this work, we restrict our study to the color-gradient multiphase LB method, which exhibits very low dissolution for tiny droplets or bubbles [20] in comparison with other multiphase LB methods. In the original color-gradient LB model devised by Gunstensen et al. [13], the work done by the color gradient against the color flux was maximized to force the colored particles to move towards fluids with the same color. In addition, the model of Gunstensen et al. suffers from the limitation of equal densities for two-phase flows. Some improvements have been conducted to overcome the shortcomings of the original color-gradient model. Grunau et al. [21] modified the form of the particle equilibrium distribution function to allow for variable density and viscosity ratios. Latva-Kokko and Rothman [22] replaced the numerical maximization recoloring step of Gunstensen et al.’s model with a formulaic segregation algorithm, which solves the lattice pinning problem at the interface region and significantly improves the computational efficiency of the color-gradient LB method. Later, Reis and Phillips [23] proposed a new perturbation operator for generating the surface tension of the color-gradient LB method and derived a theoretical expression for the surface tension through its mechanical definition. Liu et al. [24] extended the model of Reis and Philips to three-dimensional space by deriving a generalized perturbation operator, in which an expression for the surface tension parameter 3 is directly obtained without approximations. However, similar to the free-energy multiphase LB method, the color-gradient multiphase LB method also modifies the equilibrium distribution function [23,24] to incorporate the pressure of fluid. Hence it also suffers from the lack of Galilean invariance [7]. Through the Chapman-Enskog analysis, Huang et al. [25] showed that some error terms exist in the macroscopic momentum equation recovered from the color-gradient multiphase LB method. They demonstrated that for two-phase flows with different densities the error terms significantly affect the numerical accuracy. A scheme has been proposed by Huang et al. [25] to eliminate the error terms, but they emphasized that their scheme just works well for cases of density ratios less than 10. Recently, Ba et al. [26] developed a two-dimensional multiple-relaxation-time (MRT) color-gradient LB model for multiphase flows. To eliminate the error terms in the macroscopic momentum equation, an extension of Li et al.’s approach [27] was made, which was devised for recovering pRT in a double-distribution-function LB model on standard lattices for thermal compressible flows. In the present work, we aim at proposing an improved three-dimensional color-gradient LB model for multiphase flows. The error terms in the momentum equation are removed following the approach of Li et al. [27]. To be specific, a high-order term is added to the equilibrium distribution function, through which the off-diagonal elements of the third-order moment of the equilibrium distribution function satisfy the required relationship for recovering the Navier-Stokes equations. Meanwhile, the deviations of the diagonal elements are corrected through introducing a correction term into the LB equation. The rest of the present paper is organized as follows. In Sec. II, the existing three-dimensional color-gradient LB models are briefly introduced. The improved three-dimensional color-gradient LB model is proposed in Sec. III. Numerical simulations are performed in Sec. IV to validate the improved model. Finally, Sec. V concludes the present paper. II. The existing 3D color-gradient LB models 4 A. The color-gradient LB equation In the color-gradient LB method, the two immiscible fluids are represented by a red fluid and a blue k fluid, respectively. The corresponding distribution functions are denoted by fi , where i is the lattice velocity direction and kR or B denotes the color (“Red” or “Blue”). The total distribution function R B is defined as fiiff i. The evolution of the distribution functions is governed by the following LB equation [28]: kkk fiittixe,,,tftt x i x , (1) where x is the spatial position, ei is the discrete velocity in the i th direction, t is the time, t is k the time step, and i is the collision operator [23,28] kk(3) k (1) k (2) ii() () i () i , (2) k (1) k (2) where ()i is the single-phase collision operator, ()i is the perturbation operator, which is used k (3) to generate the surface tension, and ()i is the recoloring operator responsible for phase segregation and maintaining the phase interface [24,26]. When the Bhatnagar-Gross-Krook (BGK) collision operator is applied, the single-phase collision operator is given by kkkeq(1)1 , ()iiif xx ,tf , t, (3) keq, where is the non-dimensional relaxation time and fi is the equilibrium distribution function of k fi . The macroscopic variables are calculated by R B k R fi , B fi , k , ue iif , (4) i i k ik where k is the density of fluid k , is the total density, and u is the macroscopic velocity. B. 3D color-gradient LB models The first three-dimensional color-gradient LB model is attributed to Tölke et al. [28], who constructed a three-dimensional nineteen-velocity (D3Q19) color-gradient LB model for immiscible multiphase flows based on the studies of Gunstensen et al.

Load more

  30

Copy Link